Designing Vendor Selection System Using Intuitionistic Fuzzy TOPSIS and Entropy Weighting Method in Oil and Gas Industry

Selecting appropriate vendor or supplier becomes one of the most important activity of purchasing function taken by decision makers that affect their supply chain operations. Various criteria that needs to be taken into consideration in choosing one feasible vendor amongst many options make this more complicated. In this study, the theory of intuitionistic fuzzy set combined with TOPSIS is used to overcome problems related to multiple criteria decisions making (MCDM). This method helps to quantify and overcome the fuzziness caused by expert judgement in assessing both criteria and alternatives. Shannon's entropy concept is also employed for weighting the criteria weight to prevent the inconsistency occur due to a large number of criteria taken into consideration. The result of this study is demonstration of intuitionistic fuzzy TOPSIS method that is combined with entropy weighting for selecting vendor in an upstream oil and gas industry to ease the process of decision making done by decision makers objectively, accurately, and speedy.